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Efficient Computing
6876 directly classified papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
Soundwave: Less is More for Speech-Text Alignment in LLMs
ACL 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
Enhancing Lexicon-Based Text Embeddings with Large Language Models
ACL 2025
Understanding Silent Data Corruption in LLM Training
ACL 2025
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
ACL 2025
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
ACL 2025
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
ACL 2025
MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization
ACL 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
ACL 2025
RefreshKV: Updating Small KV Cache During Long-form Generation
ACL 2025
A Scalable and Effective Alternative to Graph Transformers
AAAI 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
AAAI 2025
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
ACL 2025
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
AAAI 2025
Kernel Learning for Sample Constrained Black-Box Optimization
AAAI 2025
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
AAAI 2025
Compression-Aware Computing for Scalable and Sustainable AI
AAAI 2025
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series
AAAI 2025
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
AAAI 2025
Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model
AAAI 2025
“AlphAI”: Teaching AI Algorithms to K12 by Training Learning Robots and Visualizing How It Works
AAAI 2025
Decentralized, Epoch-based F2FS Journaling with Fine-grained Crash Recovery
OSDI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
AAAI 2025
SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning
AAAI 2025
UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis
ACL 2025
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